The prognosis for patients with advanced head and neck (H&N) cancer is very poor and treatment is challenging. These patients are standardly treated with radiotherapy with or without chemotherapy. These treatments are associated with a high treatment related late toxicity that affects the quality of life and social contacts in 20% of the patients. Side effects reported in all studies concern loss of swallowing and salivary function leading to difficulties in speaking and eating. Clinical studies have shown that the addition of a local hyperthermia treatment to a (chemo)radiation treatment signifcantly improve the treatment outcome without increasing treatment related late toxicity. Application of hyperthermia in the challenging H&N region using multi antenna-element applicators requires hyperthermia treatment planning (HTP). This thesis focuses on the development of an accurate and efficient patient model generation for patient-specific HTP based on electromagnetic (EM) and temperature modeling. The first two chapters include the automatic generation of 3D patient-models from Computed Tomography (CT) scans (chapter 2) or CT and Magnetic Resonance Imaging (MRI) scans (chapter 3). Chapter 4 and 5 include temperature simulation guided H&N hyperthermia using optimized thermal tissue property values.

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G.C. van Rhoon (Gerard) , M.M. Paulides (Maarten)
This research was financially supported by the Technology Foundation STW (grant 10846).
Erasmus University Rotterdam
Department of Radiation Oncology

Verhaart, R. (2016, October 4). Patient Modeling for Simulation Guided Head and Neck Hyperthermia. Retrieved from